Crypto Trading Bots for Hedge Funds

With Zignaly's Profit Sharing, you are allocating funds for a pro trader to manage. You receive a proportionate piece of the profits based bitqs.review on the size of your initial investment. Zignaly's Profit Sharing allows an investor to put money into a fund with an experienced trader.

  • Crypto trading bots, data insights, arbitrage, day trading, portfolio tracking & more.
  • Using NLP programming, one can teach their bots how to programmatically interpret words and phrases and analyze the underlying sentiment.
  • So, finally, the question is whether or not to use automated crypto trading bots?
  • Trality is a platform offering creator tools to build your own bot.
  • Investors seek outthe best crypto trading bots, and after identifying the bots that will be most useful to them, they purchase the code from a developer.

All of 3commas can be access through a web browser on desktop or mobile but iOS has an app available and they are currently working on one for Android. Since the inception of HaaSOnline Automated Investment Software in January 2014 conception by Stephen de Haas, the software has had 2 Click for info major revisions and third is about to release this year. The updated version has been reviewed and is not able to connect to every major platform but they are working on a solution https://blockgeeks.com/guides/6-of-the-best-crypto-trading-bots-strategies-updated-list/ to that now. All in all, GoodCrypto is a mobile-first trading terminal that might be able to cover all of your dynamic trading needs for a fraction of the price of 3Commas. Good Crypto’s free version will allow you to manage your portfolio across more exchanges than 3Commas and allows monitoring of non-custodial wallets as well. The price of BTC drops to $36.000 at the end of the contract period and you exercise the right to sell it at $42.000, making a profit.

Market making

For example, while the price of Bitcoin might be $10,500 at Binance, it could be $10,460 at Bittrex. What this means in the context of Bitcoin trading bots is that you stand a really good chance of making gains in the form of an arbitrage trade. However, the benefits of an automated trading bot in the context of time goes far and beyond just fatigue. On the contrary, bots allow you to extend your exposure to the global Bitcoin trading arena around the clock.

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"